Data processing system with machine learning engine to provide roadside assistance functions

Abstract

Systems, methods, computer-readable media, and apparatuses for receiving requests for roadside assistance, generating user interfaces and using machine learning to generate roadside assistance instructions are provided. In some examples, a request for roadside assistance may be received. A user and one or more partners may be identified based on the request. In some examples, a profile associated with the user, partner or the like may be identified. A user interface may be generated based on the profile and may include features unique to the profile, partner, or the like. In some arrangements, the interface may include a first portion and a second portion. Selection of an option from the first portion may cause the system to identify data for display in the second portion and cause the data to be displayed in the second portion. Machine learning may be used to determine or identify one or more roadside assistance instructions and a roadside assistance instruction may be generated and executed.

The invention claimed is: 
     
       1. A computing platform comprising:
 a user interface generation system, in communication with a server of a roadside assistance platform, configured to generate a user interface for presentation at a mobile device, the user interface presenting: 
 a first portion including one or more selectable options for receiving different types of user input; 
 a second portion presenting one or more data fields prepopulated with data from a third-party remote server device indicating whether roadside assistance equipment includes one or more of: two-wheel drive, four-wheel drive, and a flatbed, the second portion further presenting empty data fields for receiving user input; and 
 an indication that a roadside assistance instruction is sent to a computing device associated with a roadside assistance provider profile. 
 
     
     
       2. The computing platform of  claim 1 , wherein the second portion presents data responsive to a selection at the one or more selectable options. 
     
     
       3. The computing platform of  claim 2 , wherein the one or more selectable options includes a plurality of selectable options which are selectable in any order throughout an assistance request process. 
     
     
       4. The computing platform of  claim 1 , wherein a user input is received by a natural language processing engine of the user interface. 
     
     
       5. The computing platform of  claim 1 , wherein the indication that the roadside assistance instruction is sent identifies, by using a machine-learning dataset, a type of assistance equipment for dispatch. 
     
     
       6. The computing platform of  claim 1 , wherein the different types of user input include user-related data, vehicle-related data, service-related data, location-related data, and provider-related data. 
     
     
       7. A computing platform comprising:
 a user interface generation system, in communication with a server of the computing platform, configured to generate a user interface for presentation at a mobile device, the user interface presenting: 
 a first portion simultaneously with a second portion, the first portion presenting a plurality of selectable options for receiving different types of user input; 
 the second portion presenting one or more data fields prepopulated with data from a third-party remote server device indicating whether the roadside assistance equipment includes at least one of: two wheel drive, four wheel drive, and a flatbed, wherein a type of data is prepopulated responsive to one or more selections of the plurality of selectable options at the first portion, the second portion further presenting empty data fields for receiving user input; and 
 an indication that a roadside assistance instruction is sent to a computing device associated with a user profile of a roadside assistance service provider. 
 
     
     
       8. The computing platform of  claim 7 , wherein which of the one or more data fields are prepopulated corresponds to information from an identified roadside assistance service provider profile to form a particularized user interface for the identified roadside assistance service provider profile. 
     
     
       9. The computing platform of  claim 7 , wherein the plurality of selectable options are presented based on an identified roadside assistance service provider profile to form a particularized user interface for the identified roadside assistance service provider profile. 
     
     
       10. The computing platform of  claim 7 , wherein the indication of the roadside assistance instruction includes a height restriction identified based on a machine learning output. 
     
     
       11. The computing platform of  claim 7 , wherein the user interface presents a selectable option, after receiving a roadside assistance request, to receive additional input related to the roadside assistance request. 
     
     
       12. The computing platform of  claim 7 , wherein the user interface is generated at a mobile computing device remote from another computing device which sends dispatch instructions. 
     
     
       13. The computing platform of  claim 7 , wherein the indication of the roadside assistance instruction is based on an evaluation of a location of a user indicating the user is at a parking garage. 
     
     
       14. A method of providing a user interface for a computing platform, the method comprising:
 receiving, at a user interface of the computing platform operating on a mobile device, a request for roadside assistance; 
 presenting, at a first portion of the user interface, one or more selectable options for receiving different types of user input related to the request for roadside assistance; 
 presenting a second portion of the user interface including one or more data fields prepopulated with data from a third-party remote server device indicating whether the roadside assistance equipment includes at least one of: two wheel drive, four wheel drive, and a flatbed, wherein a type of data for the one or more data fields is based on one or more selections of the one or more selectable options at the first portion, the second portion further presenting empty data fields for receiving user input; 
 identifying, by using a machine-learning dataset and based on the request, a type of assistance equipment for dispatch; and 
 presenting an indication that a roadside assistance instruction, corresponding to the type of assistance equipment for dispatch, is sent to a computing device associated with a user profile of a roadside assistance service provider. 
 
     
     
       15. The method of  claim 14 , wherein the one or more data fields corresponding to information from a roadside assistance service provider profile. 
     
     
       16. The method of  claim 14 , wherein populating the second portion includes, based on an evaluation of selections made at the first portion, identifying fields for display in the second portion, or identifying data for pre-population in the second portion. 
     
     
       17. The method of  claim 14 , further comprising receiving, at the user interface, a user input to pre-register with the computing platform, the user input to pre-register indicating one or more of: contact information, vehicle make, vehicle model, an insurance provider, or a cell service provider. 
     
     
       18. The method of  claim 14 , further comprising presenting, at the second portion of the user interface and responsive to a selection of a selectable option at the first portion, a data field to receive input indicating whether wheels are damaged. 
     
     
       19. The method of  claim 14 , further comprising presenting, at the second portion of the user interface and response to a selection of a selectable option at the first portion, a data field to receive input indicating whether a user is parked in a garage.